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Enregistrement W4405040232 · doi:10.1182/blood-2024-210688

Depletion of CD59 Inhibits the Proliferation and Survival of Acute Myeloid Leukemia Cells By Altering Lipid Raft Composition and Suppression of Raf/MEK/ERK Signaling

2024· article· en· W4405040232 sur OpenAlexaff
Abdula Maher, Séverine Cathelin, Dhanoop Manikoth Ayyathan, Yitong Yang, Alex C.H. Liu, Mohsen Hosseini, Steven M. Chan

Notice bibliographique

RevueBlood · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Myeloid Leukemia Research
Établissements canadiensPrincess Margaret Cancer CentreUniversity Health NetworkUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésMAPK/ERK pathwayMyeloid leukemiaCancer researchLeukemiaCell biologySignal transductionMyeloidImmunologyBiologyChemistry

Résumé

récupéré en direct d'OpenAlex

Treatment outcomes for acute myeloid leukemia (AML) patients vary greatly based on patient characteristics, such as age and the genetic makeup of leukemic cells. In particular, older patients (>60 years), patients with complex cytogenetics, and patients with TP53 mutations are more resistant to frontline treatment and have dismal overall survival. The lack of effective treatment options for this high-risk patient population presents the need to identify novel therapeutic targets. We previously reported that the membrane regulatory protein, CD59, is a marker for poor prognosis in AML, with increased CD59 expression associated with refractory disease, TP53 mutational status, and shorter overall survival. CD59 is a GPI-anchored protein which mainly inhibits the formation of the membrane attack complex of the complement system. Using doxycycline-inducible short-hairpin RNAs against CD59 (shCD59) and a non-targeting control (shNT), we showed that CD59 knockdown leads to G0/G1 cell cycle arrest and increased cell death in AML cell lines. Importantly, we confirmed a complement-independent role of CD59 as the effect of CD59 knockdown is not rescued by heat-inactivation of fetal bovine serum, a procedure which inactivates the complement proteins in cell culture medium. Here, we build upon our findings by testing for in vivo efficacy. We transplanted NOD/SCID/IL2Ry-null (NSG) mice with AML cells which were transduced with doxycycline-inducible shCD59 or shNT-encoding lentiviral vectors. Doxycycline-treated mice transplanted with shCD59-expressing cells had a 1000-fold lower leukemic burden and significantly longer overall survival in comparison to doxycycline-treated mice transplanted with shNT-expressing cells or vehicle-treated mice transplanted with shCD59 or shNT-expressing cells. To investigate the mechanism through which CD59 expression promotes AML proliferation, we performed RNA-sequencing and mass spectrometry-based phospho-proteomic profiling of shCD59 and shNT-expressing AML cells. Differential gene expression and pathway enrichment analyses revealed a downregulation of genes involved in cell cycle and DNA replication upon CD59 knockdown. This indicated that CD59 influences the activation of pathways that control cell cycling. As such, we employed a kinase activity prediction algorithm which predicted a decrease in extracellular-signal regulated kinase 1 (ERK1) activity. As effector proteins of the Ras/Raf/MEK signaling pathway, ERK1/2 are well-documented drivers of G1-S phase transition in AML. We therefore probed for active MEK1/2 and ERK1/2 levels via western blotting and confirmed a decrease in p-MEK1/2 (S217/221) and p-ERK1/2 (T202/Y204) expression following CD59 knockdown, whereas total MEK1/2 and ERK1/2 levels were unchanged. This finding indicated that CD59 signals upstream of MEK1/2 to influence ERK1/2 activation. As CD59 is reported to cluster within lipid rafts, which are important sites for signal transduction, we predicted that CD59 downregulation alters lipid raft signaling. First, we probed for the abundance of the lipid raft marker, GM1, via immunofluorescence microscopy and observed an increase in GM1 staining intensity in shCD59-expressing cells versus shNT-expressing cells. As various proteins compete for lipid raft localization, we reasoned that CD59 depletion, and subsequent increase in GM1 abundance, leads to a change in the protein composition of lipid rafts. Therefore, we isolated the lipid raft and cytosolic fractions from shCD59 and shNT-expressing cells and probed for Ras, c-Raf, and MEK1/2 expression. We observed increased Ras and c-Raf expression in the lipid raft compartment following CD59 knockdown, whereas there was no change in MEK1/2 expression. Furthermore, there was no change in the level of active Ras (GTP-bound Ras) between shCD59 and shNT-expressing cells. Thus, these findings indicate that CD59 depletion increases Ras and c-Raf localization to the lipid raft fraction which prevents MEK1/2 and ERK1/2 activation. In summary, we demonstrate that reducing CD59 expression prevents the proliferation of AML cells in a complement-independent manner. We propose a model in which CD59 depletion alters the composition of lipid rafts, thereby supressing ERK signaling which leads to cell cycle arrest. Our findings provide the rationale for exploring CD59 as a therapeutic target against this deadly disease.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,001
Score d'incertitude au seuil0,003

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,011
Tête enseignante GPT0,264
Écart entre enseignants0,253 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2024
Routes d'admission1
Résumé présentoui

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